A Multi-objective Optimal Scheduling Method for Cascade Hydropower Stations Coupling Relative Target Proximity and Marginal Analysis Principle

Abstract

The invention relates to the field of hydropower dispatch operation, and relates to a multi-objective optimization dispatching method for a cascade hydropower station coupled with relative target proximity and marginal analysis principle. According to the method, a relative target proximity optimization model is constructed by introducing objective positive and negative ideal points, to efficiently process multi-objective optimization; a complex scheduling constraint processing strategy is proposed, and a genetic algorithm is coupled to solve the model to determine optimal solution sets of different objective weight coefficients; and based on this, the marginal benefit and marginal cost are used to represent a change relationship between a multi-objective function value and a weight coefficient. Based on the law of profit maximization of economics, the marginal analysis is performed on the objective weight coefficient to finally determine a benefit-dominated area, a cost-dominated area, and an equilibrium area, and a multi-objective decision-making basis is given. The method effectively takes the requirements of the multi-objective optimization dispatching of the cascade hydropowerstation into account, helps dispatchers to reduce the subjective assume in the decision-making, and provides a new technical approach for the dispatch decision of a super-large drainage basin hydropower station group having comprehensive utilization requirements.

Description

technical field [0001] The invention relates to the field of hydropower dispatching operation, in particular to a multi-objective optimization dispatching method for cascade hydropower stations coupled with relative target proximity and marginal analysis principles. technical background [0002] Cascade hydropower stations in super-large river basins usually undertake comprehensive utilization tasks such as power generation, flood control, water supply, shipping, and ecology. Their dispatching and operation is a typical multi-objective optimization problem, and its solution is very complicated, mainly reflected in the following two aspects: First, from a mathematical perspective From the point of view, the multi-objective optimal dispatching of hydropower station groups is a typical high-dimensional, strongly coupled, nonlinear optimization problem. Especially in the short term, how to solve the multi-objective optimization problem under the highly coupled constraint set of t...

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Problems solved by technology

At present, there are two main ways of solving multi-objective optimization problems: one is to convert multi-objective into single-objective solution, including object weight method, constraint method, sequence optimization method, fuzzy maximum satisfaction method, etc. The principle of this kind of method is simple and easy to implement , the essence is to simplify the original problem and reduce the difficulty of optimization, but the solution process is heavily dependent on the determination of the target weight coefficient, the selection of the target function converted into constraints, the ranking of the target importance, the expansion and contraction range of the target value in the membership function, etc. Human subjective factors are likely to have a significant impact on calculation results and scheduling decisions

The other is to directly use the multi-objective optimization algorithm to obtain the Pareto solution set of the problem. This type of method will not destroy the physical meaning of the multi-objective problem itself, and can obtain a non-inferior solution set close to the real Pareto front of the problem. An optional A set of hydropower dispatching schemes, but the final decision still depends on the dispatcher's subjective tendency or target preference degree, lack of objective decision-making measurement methods, and it is difficult to fully reflect the decision-making benefits under the comprehensive action of multiple targets

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